PhD candidate bridging analytical chemistry, structural enzymology, computational drug design, and lab automation to build scalable, reproducible workflows for complex biological systems.

Automation + Bio-Analytical Chemistry + Structural Enzymology + Computational Drug Design + Engineering

I am Oluwaseun Ajayi, a Chemistry PhD candidate at the University of Georgia specializing in bioanalytical chemistry, structural biology, enzymology, glycobiology, and computer-aided drug design. I develop reproducible analytical and computational workflows for glycans, glycoproteins, antibodies, and complex biological systems, integrating high-resolution mass spectrometry, enzyme kinetics, structural biology, predictive modeling, and automation. My work emphasizes scalability, reproducibility, and mechanistic insight, bridging experimental chemistry with computational and automated laboratory workflows.

I integrate high-resolution mass spectrometry, enzyme kinetics, structural biology, and predictive modeling to connect experimental chemistry with automated and software-enabled laboratory workflows.

I am Oluwaseun Ajayi, a Chemistry PhD candidate at the University of Georgia specializing in analytical chemistry, structural biology, enzymology, glycoproteomics, and computer-aided drug design. My research integrates high-resolution mass spectrometry, chromatography, enzyme kinetics, structural biology, computational modeling, and automation to investigate complex biological systems and develop reproducible analytical workflows.

My work focuses on connecting experimental chemistry with computational and automated approaches to improve analytical throughput, scalability, and mechanistic understanding.

• Glycoproteomics and multiomics sample preparation • Protein expression, purification, and characterization • Enzyme kinetics and mechanistic studies • HPLC coupled with ion mobility mass spectrometry • LC-MS/MS and high-resolution mass spectrometry • FPLC, UV-Vis, FTIR, Raman, and NMR • X-ray crystallography and structural biology • High-throughput assay development and analytical workflows

• Computer-aided drug design for enzymes and therapeutics • Molecular docking and molecular dynamics simulations • MM/GBSA free energy calculations • QSAR modeling and chemoinformatics • Virtual screening and structure-based drug design • Ligand optimization and molecular modeling • ADMET prediction and predictive modeling • Integration of computational and experimental biochemical data

• Glycoproteomics and analytical characterization of complex biomolecules • Mechanistic studies of enzymes and biomolecular systems • Structural enzymology and protein-ligand interactions • Integration of analytical chemistry with computational modeling • Reproducible analytical pipelines and high-throughput workflows • Laboratory automation, robotics, and scalable experimental systems

Protein Analytical Development and Laboratory Automation Co-Op, Cell Engineering and Analytical Sciences,  Johnson & Johnson Innovative Medicine

Contributed to laboratory automation and analytical infrastructure supporting biotherapeutic development, including:

• Robotic workcell integration and automated sample transport • Control logic configuration and multi-instrument orchestration • High-throughput workflow development and optimization • CAD-based mechanical design, rapid prototyping, and 3D printing • Integration of liquid handling platforms with analytical workflows • Development of scalable laboratory automation systems

Experimental: HPLC-IM-MS, LC-MS/MS, GC-MS, FPLC, UV-Vis, Raman, NMR, X-ray crystallography, cryo-EM

Computational & CADD: Molecular docking, molecular dynamics, MM/GBSA, QSAR modeling, chemoinformatics, virtual screening, ligand optimization, ADMET prediction

Automation & Engineering: Laboratory robotics, high throughput workflow orchestration, automated analytical pipelines, workcell control systems, CAD design, 3D printing, additive manufacturing

Programming & Data: Python (PyQt5, pandas, NumPy), R, C++, C#, JavaScript, FORTRAN, Git/GitHub

I am interested in collaborative research across biotechnology, pharmaceuticals, analytical chemistry, and automation-driven laboratory systems. I work at the interface of experimental chemistry, computational modeling, and engineering to develop scalable, reproducible solutions for complex biological and chemical problems.

Email: seunolanikeajayi@gmail.com

LinkedIn: Oluwaseun Ajayi

GitHub: @Oluwaseun-O-Ajayi